AIMC Journal:
Computer methods and programs in biomedicine

Showing 761 to 770 of 863 articles

Feature selection using ant colony optimization with tandem-run recruitment to diagnose bronchitis from CT scan images.

Computer methods and programs in biomedicine Apr 18, 2017
BACKGROUND AND OBJECTIVES: Computer-aided diagnosis (CAD) plays a vital role in the routine clinical activity for the detection of lung disorders using computed tomography (CT) images. It serves as a source of second opinion that radiologists may con...
Lung Diagnosis, Computer-Assisted Support Vector Machine Bronchitis Humans Algorithms Tomography, X-Ray Computed
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Adaptive neuro-fuzzy inference system for breath phase detection and breath cycle segmentation.

Computer methods and programs in biomedicine Apr 14, 2017
BACKGROUND: The monitoring of the respiratory rate is vital in several medical conditions, including sleep apnea because patients with sleep apnea exhibit an irregular respiratory rate compared with controls. Therefore, monitoring the respiratory rat...
Sleep Apnea Syndromes Acoustics Humans Neural Networks, Computer Respiration Fuzzy Logic Monitoring, Physiologic Respiratory Rate
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Pareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification.

Computer methods and programs in biomedicine Apr 13, 2017
BACKGROUND AND OBJECTIVE: Feature reduction is an essential stage in computer aided breast cancer diagnosis systems. Multilayer neural networks can be trained to extract relevant features by encoding high-dimensional data into low-dimensional codes. ...
Humans Neural Networks, Computer Algorithms Mammography Breast Neoplasms Diagnosis, Computer-Assisted
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High-accuracy detection of airway obstruction in asthma using machine learning algorithms and forced oscillation measurements.

Computer methods and programs in biomedicine Mar 28, 2017
BACKGROUND AND OBJECTIVES: The main pathologic feature of asthma is episodic airway obstruction. This is usually detected by spirometry and body plethysmography. These tests, however, require a high degree of collaboration and maximal effort on the p...
Humans Machine Learning Algorithms Diagnosis, Computer-Assisted Adult Decision Trees Asthma Airway Obstruction Middle Aged
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A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.

Computer methods and programs in biomedicine Mar 21, 2017
Accurately assessment of adipose tissue volume inside a human body plays an important role in predicting disease or cancer risk, diagnosis and prognosis. In order to overcome limitation of using only one subjectively selected CT image slice to estima...
Subcutaneous Fat Image Interpretation, Computer-Assisted Abdominal Fat Intra-Abdominal Fat Tomography, X-Ray Computed Abdomen Humans Neural Networks, Computer
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Modeling and control of operator functional state in a unified framework of fuzzy inference petri nets.

Computer methods and programs in biomedicine Mar 21, 2017
BACKGROUND AND OBJECTIVE: In human-machine (HM) hybrid control systems, human operator and machine cooperate to achieve the control objectives. To enhance the overall HM system performance, the discrete manual control task-load by the operator must b...
Humans Algorithms Man-Machine Systems Fuzzy Logic Electroencephalography Models, Biological
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A study of EMR-based medical knowledge network and its applications.

Computer methods and programs in biomedicine Feb 23, 2017
BACKGROUND AND OBJECTIVE: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support. We attempt to integrate this medical knowledge into a complex network, and then implement a diagnosis ...
Humans Medical Informatics Poisson Distribution Diagnosis, Computer-Assisted Models, Statistical Decision Support Systems, Clinical Databases, Factual China Knowledge Bases Cluster Analysis Electronic Health Records Reproducibility of Results
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Subject-based discriminative sparse representation model for detection of concealed information.

Computer methods and programs in biomedicine Feb 20, 2017
BACKGROUND AND OBJECTIVES: The use of machine learning approaches in concealed information test (CIT) plays a key role in the progress of this neurophysiological field. In this paper, we presented a new machine learning method for CIT in which each s...
Truth Disclosure Guilt Sensitivity and Specificity Random Allocation Algorithms Healthy Volunteers Support Vector Machine Humans Signal-To-Noise Ratio Electroencephalography Learning Brain Mapping Linear Models Artificial Intelligence Crime Electrodes Reproducibility of Results Machine Learning
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Ventricular Fibrillation and Tachycardia detection from surface ECG using time-frequency representation images as input dataset for machine learning.

Computer methods and programs in biomedicine Feb 10, 2017
BACKGROUND AND OBJECTIVE: To safely select the proper therapy for Ventricullar Fibrillation (VF) is essential to distinct it correctly from Ventricular Tachycardia (VT) and other rhythms. Provided that the required therapy would not be the same, an e...
Datasets as Topic Ventricular Fibrillation Tachycardia Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

Computer methods and programs in biomedicine Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Patient Safety Computer Simulation Sensitivity and Specificity Carbon Area Under Curve Benzene Support Vector Machine Humans Algorithms False Positive Reactions Drug Approval Risk Toluene Ethylamines Product Surveillance, Postmarketing Drug Monitoring Linear Models Safety-Based Drug Withdrawals Nervous System Pharmaceutical Preparations Pattern Recognition, Automated Data Mining
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